Supply Chain Collaborative Innovation Research Articles

Digital transformation for supply chain collaborative innovation and market performance

PurposeManufacturers increasingly resort to digital transformation to shape their competitiveness in the digital economy era, while supply chain (SC) collaborative innovation helps them cope with market uncertainties. However, whether and how digital transformation can facilitate SC collaborative innovation remain unclear. To address this gap, we aims to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.Design/methodology/approachWe use partial least squares-structural equation modelling (PLS-SEM) with a sample of 210 Chinese manufacturers to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.FindingsThe results show that digital strategy and capability positively impact SC collaborative process and product innovation, which enhances market performance. In addition, SC collaborative innovation mediates the relationship between digital transformation and market performance.Originality/valueThis study contributes to the literature by identifying how digital transformation drives SC collaborative innovation towards improving market performance and providing practical guidance for enterprises in promoting digital transformation and SC collaborative innovation.

Optimizing mechanisms for promoting low-carbon manufacturing industries towards carbon neutrality

Many governments have implemented subsidy policies to promote low-carbon manufacturing for achieving carbon neutrality. Whereas carrying out an appropriate subsidy policy and subsidy rate is challenging when the supply chain members collaborate on low carbon technologies. Therefore, this research constructs a game model that is comprised of a government, a low carbon manufacturer and a retailer. The government can subsidize the manufacturer's production or innovation costs. The retailer can collaborate with manufacturer through a revenue-sharing contract or cost-sharing contract. This research investigates the interaction between the government subsidies and supply chain collaborative innovation. The impact of government subsidies and supply chain collaborative innovation on the carbon emission reduction and economic performance is further studied. The results reveal that the supply chain collaborative innovation is a factor that should be taken into account when the government decides the subsidy mode and subsidy rate. Under certain conditions, the combinations of subsidy policies and collaboration contracts can simultaneously achieve the highest economic performance and carbon emission reduction level. This research suggests that the government should timely adjust the subsidy rate in accordance with the collaborative innovation modes of the supply chain. The government should investigate the status of low carbon technology innovation before choosing a subsidy mode. Through choosing the suitable subsidy mode, the government can bear more fruit in reducing carbon emissions, thereby benefiting the carbon neutrality.

Antecedents of green supply chain collaborative innovation in tourism SMEs: Moderating the effects of socio-demographic factors

The importance of environmentally friendly issues related to manufacturing industry activities in Makassar City is currently a special concern. Green supply chain management integrates supply chain management with environmental management, so it is important to reduce environmental impacts. This study aims to determine the antecedents of green supply chain collaborative innovation on the performance of Small and Medium Enterprises in the Tourism Sector. Data was collected by distributing questionnaires. The unit of research analysis is Small and Medium Enterprises in the Tourism Sector in West Java. Respondents who were used as samples were 311 respondents. The analytical method used in testing the hypothesis is Partial Least Square (PLS). The results show: green supply chain management has a positive and significant effect on the performance of Small and Medium Enterprises in the Tourism Sector in West Java, green supply chain management mediates the effect of green innovation and transformational leadership on the performance of Small and Medium Enterprises in the Tourism Sector.

Construction of Knowledge Service Model of Guizhou Supply Chain Enterprises Based on Big Data

In the era of big data, "knowledge" scope is expanded. To realize the optimization of supply chain collaborative innovation in the era of big data, the platform of the collection, analysis, mining and application of massive data resources is needed. By analyzing the sources of big data of collaborative innovation of supply chain, a basic framework of knowledge innovation platform of Guizhou supply chain enterprises under the environment of big data is proposed. The effect of big data technology on supply chain logistics mode is analyzed, and the current situation of logistics industry modernization in Guizhou province is discussed. The mathematical model of big data processing is designed, and an example is simulated to validate the advantage of the proposed method.

Research on Collaborative Innovation Strategy of Smart Supply Chain in the Big Data Era

With the continuous emergence of new technologies such as Artificial intelligence, big data, Cloud computing and IOT, technology accelerates integration and innovation, and data dividends have continued to emerge. At the same time, China’s “Internet Action Plan”, “Made in China 2025”, “Digital China” and other national strategies have been implemented in depth, China’s social and economic development has entered the era of big data. As the basic industry of the national economy. The logistics industry will also accelerate changes, and it has become a development trend for companies to use new technologies to realize smart supply chain collaborative innovation. The paper analyzes the development opportunities of smart supply chain in the Big Data Era, summarizes the problems encountered in the application of big data in the smart supply chain at this stage, and finally puts forward the collaborative innovation strategy for smart supply chain in the Big Data Era, Providing reference for collaborative innovation development of enterprise supply chain.

The impact of supply chain relationship quality on knowledge sharing and innovation performance: evidence from Chinese manufacturing industry

Purpose This study aims to investigate the impact mechanism of supply chain relationship quality on knowledge sharing and firms’ innovation performance during supply chain collaborative innovation. Design/methodology/approach A conceptual model linking supply chain relationship quality, knowledge sharing and firms’ innovation performance is developed, and the hypotheses of the relationships among them are proposed. To test these hypotheses with structural equation modeling, this study conducts a survey of 287 Chinese manufacturing firms that carried out collaborative innovation with supply chain partners. Findings Supply chain relationship quality has a significant positive effect on tacit knowledge sharing but its positive effect on explicit knowledge sharing is not significant. Both explicit and tacit knowledge sharing across supply chain enterprises positively influence firms’ innovation performance. Supply chain relationship quality influences firms’ innovation performance directly as well as indirectly through the mediating roles of explicit and tacit knowledge sharing. Originality/value This study provides empirical evidence of supply chain relationship quality’s direct and indirect effects through explicit and tacit knowledge sharing on firms’ innovation performance. This study also provides supply chain practitioners with better understanding of the importance of developing relationship quality and knowledge sharing across supply chain as they are positively associated with firms’ innovation performance.

Influence of Supply Chain Collaborative Innovation on Sustainable Development of Supply Chain: A Study on Chinese Enterprises

The recent trade friction between the two largest economies, US and China, is having a profound impact on the sustainable development of supply chains at a global scale. Supply chain collaborative innovation has not only become the main means for enterprises in various countries to cope with imponderable changes, but also been the driver of increasing supply chain dynamic capability and of achieving sustainable development of supply chains. Based on the survey data of 510 Chinese enterprises, this paper adopts the hierarchical regression analysis and a structural equation model to study the impact of supply chain collaborative innovation on the sustainable development of supply chains. The results show that: (1) Three modes of supply chain collaborative innovation (namely, technology collaborative innovation, management collaborative innovation, and market collaborative innovation) have different effects on supply chain dynamic capability and sustainable supply chain performance. (2) Supply chain dynamic capability plays a significant intermediary role between supply chain collaborative innovation and sustainable supply chain performance. (3) Supply chain technology collaborative innovation has the greatest direct impact on sustainable supply chain performance, followed by supply chain management collaborative innovation. However, the direct effect of supply chain market collaborative innovation on sustainable supply chain performance is not significant; under the intermediary role of dynamic capability, supply chain market collaborative innovation has a significant indirect effect on sustainable supply chain performance.

Green supply chain collaborative innovation, absorptive capacity and innovation performance: Evidence from China

Abstract Green supply chain collaborative innovation (GSCCI) is about the utilization of specific advantages of individual organizations in a holistic manner along the supply chain through collaboration for jointly solving green management problems. This paper presents a conceptual model for better understanding the relationship between GSCCI, absorptive capacity and innovation performance in organizations. Taking 206 foreign trade organizations in China as the survey object, this study empirically tests and validates the conceptual model using multiple regression analysis. The study shows that organization-organization collaborative innovation, organization-government collaborative innovation, and organization-institution collaborative innovation have a significant positive effect on innovation performance. It reveals that absorptive capacity has a significant positive effect on innovation performance. Furthermore, the study finds out that absorptive capacity plays a partially mediating role in the relationship between organization-organization collaborative innovation and innovation performance and between organization-institution collaborative innovation and innovation performance. This study illustrates the mechanism of GSCCI and its impact on innovation performance which provides guideline for foreign trade organizations in China to better compete in the international market through collaborative innovation.

Knowledge Sharing in Supply Chain Networks

Facing fast-changing and uncertain environments, firms strive to achieve greater supply chain collaborative innovation to leverage the resources and knowledge of their partners. We aimed to uncover...

Game analysis of the knowledge sharing mechanism for the supply chain collaborative innovation

Purpose: In information economy era, innovation is the key to improve the competitiveness of enterprises. The traditional way of enterprise innovation is outdated and supply chain collaborative innovation has becoming popular. This paper aims to analyses the mechanism of knowledge sharing between enterprises in supply chain collaborative innovation. Design/methodology/approach: This paper analyzes the supply chain members’ willingness to share knowledge by using the game theory. And the result of knowledge sharing between two companies is analyzed by using the evolutionary game. Findings: We broke the knowledge sharing process in supply chain collaborative innovation into knowledge mining and knowledge transferring. We got the best knowledge sharing strategy of each supply chain member. We gave the influencing factors of knowledge sharing between members for the knowledge sharing mechanisms in supply chain collaborative innovation. Research limitations/implications: We didn’t study the willingness of more than two supply chain members to share knowledge and the result of knowledge sharing between them. And this situation is more realistic. Practical implications: Our findings can help to improve the effect of knowledge sharing in supply chain collaborative innovation. Originality/value: The paper introduces the game theory to knowledge sharing between members in supply chain collaborative innovation, deepens the understanding of knowledge sharing in supply chain collaborative innovation, and gives some interesting findings.